Victor An's repositories
ijcai18-mama-ads-competition
IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
codes-clean-code-functions-testable-html
Clean code functions. how to refactor testable html
dl-dog-breed-identification
Kaggle dog breed identification implemented via gluon
dl-face-generation
using GANs generate face.
dl-image-classification
udacity dlnd image classification for CIFAR-10
dl-language-translation
A sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French
mastering-concurrency-programming
mastering concurrency programming with java8
OpenMultiarmedBandits
A open source multi arm bandit framework for optimize your website quickly. You’ll quickly use the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through this framework written in Java, which you can easily adapt for deployment on your own website.
avito
Avito Demand Prediction Challenge Predict demand for an online classified ad
awesome-chaos-engineering
A curated list of awesome Chaos Engineering resources.
cibuildwheel
🎡 Build Python wheels on CI with minimal configuration.
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
coursera_machine_learning_matlab
Cousera machine learning matlab implement
crow
Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DataMining
:horse_racing: 思维误区: 用理想模型来思考复杂现实问题
Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
designing-distributed-systems
Sample code and configuration files from the Designing Distributed Systems book.
docker-stacks
Ready-to-run Docker images containing Jupyter applications
Feature-Selection
For general feature selection
h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
keras-rl
Deep Reinforcement Learning for Keras.
ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
strata-conference-ca-2018
environment setup for strata conference 2018